While working with Power Automate flows, many of us frequently use HTTP requests to interact with APIs and fetch data. However, constructing these HTTP requests can be complex and time-consuming, which led me to experiment with using ChatGPT to streamline this process during my last project.

My findings on integrating ChatGPT into this workflow are as follows:

Quick API Testing: ChatGPT serves as a handy tool for rapidly constructing and testing API requests. However, it’s essential to already have a basic understanding of the API you’re working with to get the most out of it.

Header Information: By default, using ChatGPT for API calls will not provide you with header information. If you require headers for debugging or for the logic of your flow, you’ll have to explicitly ask ChatGPT to include them.

Not a Replacement for Human Expertise: While ChatGPT can accelerate the process of debugging and creating API requests, it should not be considered a complete substitute for human expertise and hands-on operation of the tools involved.

One of the most beneficial aspects of using ChatGPT in this context is its ability to quickly debug API requests. You can feed the complete API request into ChatGPT and ask it to analyze the request for you. This allows for more efficient and faster debugging.

The experiment proves that ChatGPT can be an asset in simplifying the complexities involved in dealing with HTTP requests within Power Automate flows.

Door Anouck

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